Project 4 information
- Category: Classification Prediction
- Client: Purwadhika Digital Tech School
- Project date: 20 July, 2023
- Project URL: Final Project
- Dashboard URL: Tableau Final Project
Project Description
This project focuses on developing an advanced classification model tailored to the unique context of the Olist e-commerce platform in Brazil.
By harnessing the rich and diverse data available from the Olist dataset, the project aims to predict and classify customer segments based on their purchasing behaviour, preferences, and interactions with the platform.
Leveraging machine learning techniques and comprehensive feature engineering, the project seeks to provide valuable insights for targeted marketing, personalized customer engagement, and improved customer relationship management strategies, ultimately fostering enhanced customer satisfaction and business growth for the Olist e-commerce platform.
Tools: VSCode, Python Programming, Pandas, NumPy, Seaborn, Matplotlib, Scipy, Scikit-Learn, Json, Folium, Dython, Squarify, Geopy, Imblearn, Optuna, Shap, Tableau.